Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a recent benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

Domains - depth required in at least two subdomains (with a coding focus)

- Mathematics — numerical linear algebra, computational mechanics, computational finance

What you'll do

- Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design

- Write scientific prompts based on the input

- Build the grading criteria that define a correct answer

- Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed

Required

- PhD in mathematics, applied mathematics,



computational mathematics, or a closely related field

- Demonstrated depth in at least two of the following subdomains: numerical linear algebra, computational mechanics, computational finance

- Working proficiency in Python for scientific computing

- Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks

Preferred

- Publications in peer-reviewed journals

- Prior scientific software or research engineering experience

Engagement

- Duration: 6 weeks

- Commitment: part-time, 20+ hours per week

- Start date: immediate

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📌 Mathematics PhD - AI Evaluation Expert (Toronto)
🏢 Mercor
📍 Toronto